Automatic query reformulation for code search using crowdsourced knowledge

Automatic query reformulation for code search using crowdsourced knowledge

Traditional code search engines (e.g., Krugle) often do not perform well with natural language queries. They mostly apply keyword matching between query and source code. Hence, they need carefully designed queries containing references to relevant APIs for the code search. Unfortunately, preparing a...

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Bibliographic Details
Main Authors: RAHMAN, Mohammad M., ROY, Chanchal K., LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2019
Subjects:
Code search
Keyword-API association
Crowdsourced knowledge
Stack Overflow
Query reformulation
Programming Languages and Compilers
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4374
https://ink.library.smu.edu.sg/context/sis_research/article/5377/viewcontent/Rahman2019_Article_AutomaticQueryReformulationFor_1_.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/4374
https://ink.library.smu.edu.sg/context/sis_research/article/5377/viewcontent/Rahman2019_Article_AutomaticQueryReformulationFor_1_.pdf

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